◉ ai

Embeddings

Numerical representations that capture meaning

Numerical vector representations of text, images, or data that capture semantic meaning and relationships. Words with similar meanings get similar vectors, enabling machines to understand that "crypto" and "blockchain" are related. Embeddings power semantic search, recommendation engines, and RAG systems — they're the foundation that makes modern AI useful for finding and comparing information.

Related terms

RAG (Retrieval-Augmented Generation)

Giving AI access to your own data

Vector Database

Database that stores and searches by meaning

LLM (Large Language Model)

AI models that understand and generate text